Competition rules: 

 - Work in your course groups
 - Use the ordinary least squares (OLS) regression methods as studied in Sessions 2-4, including the advanced ones with feature engineering, regularizations, and other "twists." Note, there exist other methods which we have not studied yet. You are free to explore them, but if your group decides to try non-regression methods (e.g., a random forest, which we will discuss in Session 5-6), please create two different Kaggle teams for your submissions to not mix up regression and non-regression results (e.g., G1_regression, and G1_random_forest). The regression results will be graded, but it could be insightful to see how much better other methods can do.
 - Have fun!